PRIE: a system for generating rulelists to maximize ROC performance

@article{Fawcett2008PRIEAS,
  title={PRIE: a system for generating rulelists to maximize ROC performance},
  author={Tom Fawcett},
  journal={Data Mining and Knowledge Discovery},
  year={2008},
  volume={17},
  pages={207-224}
}
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce categorical classifications to maximize classification accuracy. Recent work in machine learning has pointed out the limitations of classification accuracy: when class distributions are skewed, or error costs are unequal, an accuracy maximizing classifier can perform poorly. This paper presents a method for learning… CONTINUE READING